The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Probabilistic model for the simulation of secondary electron emission
Open accessAbstract
We provide a detailed description of a model and its computational algorithm for the secondary electron emission process. The model is based on a broad phenomenological fit to data for the secondary-emission yield and the emitted-energy spectrum. We provide two sets of values for the parameters by fitting our model to two particular data sets, one for copper and the other one for stainless steel.
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Cited by
Latest progress in Hall thrusters plasma modelling
Taccogna, F., & Garrigues, L. (2019) · Reviews of Modern Plasma Physics · doi:10.1007/s41614-019-0033-1 · Cited by 103
Three-dimensional particle-in-cell model of Hall thruster: The discharge channel
Taccogna, F., & Minelli, P. (2018) · Physics of Plasmas · doi:10.1063/1.5023482 · Cited by 68
Anomalous transport induced by sheath instability in Hall effect thrusters
Taccogna, F., Longo, S., Capitelli, M., & Schneider, R. (2009) · Applied Physics Letters · doi:10.1063/1.3152270 · Cited by 58
Numerical studies of the ExB electron drift instability in Hall thrusters
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Metadata
- Authors
- Furman, M., & Pivi, M.
- Venue
- Physical Review Special Topics - Accelerators and Beams
- Publisher
- American Physical Society (APS)
- Published
- 2002-12-31
- Volume
- 5
- Issue
- 12
- ISSN
- 1098-4402 (ISSN-L)
- OpenAlex
- W2159391442
- Cited by
- 533
- References
- 14
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Furman, M., & Pivi, M. (2002). Probabilistic model for the simulation of secondary electron emission. Physical Review Special Topics - Accelerators and Beams. https://doi.org/10.1103/physrevstab.5.124404
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
